scholarly journals Model of Service-Oriented B2B Integration in the Traffic Safety Area

1970 ◽  
Vol 25 (2) ◽  
pp. 169-176
Author(s):  
Slađana Janković ◽  
Snežana Mladenović ◽  
Krsto Lipovac ◽  
Dušan Mladenović ◽  
Slavko Vesković
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Safety Data ◽  
Traffic Intensity ◽  
Integration Model ◽  
Traffic Police ◽  
Black Spots ◽  
Service Oriented

One class of methods for black spots identification is based on the analysis of: traffic accidents (TA), road parameters, and traffic intensity. The data used in the analysis can be grouped into the information about: roads, persons participating in TA, vehicles participating in TA, traffic accidents and their consequences, and traffic. These categories of data are usually under the jurisdiction of different traffic and non-traffic subjects. Therefore, it is necessary to exchange traffic safety data among the following sources: traffic police, road manager, and health and judicial sector. This paper proposes a model for the exchange and integration of traffic safety data into a single database, which allows the calculation of risks for road sections, as well as the classification and ranking of the sections. The model is based on B2B integration of service-oriented applications. This paper describes a practical example that demonstrates the proposed integration model.

Profiling of High-Frequency Accident Locations by Use of Association Rules

2003 ◽  
Vol 1840 (1) ◽  
pp. 123-130 ◽  
Author(s):  
Karolien Geurts ◽  
Geert Wets ◽  
Tom Brijs ◽  
Koen Vanhoof
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Traffic Safety ◽  
High Frequency ◽  
Traffic Accidents ◽  
Low Frequency ◽  
Large Data ◽  
Data Mining Algorithm ◽  
Road Accidents ◽  
Black Spots

In Belgium, traffic safety is one of the government's highest priorities. The identification and profiling of black spots and black zones (geographical locations with high concentrations of traffic accidents) in terms of accident-related data and location characteristics must provide new insights into the complexity and causes of road accidents, which, in turn, provide valuable input for governmental actions. Association rules were used to identify accident-related circumstances that frequently occur together at high-frequency accident locations. Furthermore, these patterns were analyzed and compared with frequently occurring accident-related characteristics at low-frequency accident locations. The strength of this approach lies with the identification of relevant variables that make a strong contribution toward obtaining a better understanding of accident circumstances and the discerning of descriptive accident patterns from more discriminating accident circumstances to profile black spots and black zones. This data-mining algorithm is particularly useful in the context of large data sets for road accidents, since data mining can be described as the extraction of information from large amounts of data. The results showed that human and behavioral aspects are of great importance in the analysis of frequently occurring accident patterns. These factors play an important role in identifying traffic safety problems in general. However, the accident characteristics that were the most discriminating between high-frequency and low-frequency accident locations are mainly related to infrastructure and location.

scholarly journals Effects of Traffic Violation and Demographic Characteristics on Traffic Safety in Sulaymaniyah City

2020 ◽  
Vol 7 (3) ◽  
pp. 228-240
Author(s):  
Burhan Muhamad ◽  
◽  
Hardy Karim ◽  
Hemn Ahmed ◽  
◽  
...  
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Demographic Characteristics ◽  
Moving Vehicle ◽  
Traffic Police ◽  
Average Value ◽  
Street Networks ◽  
Young Drivers ◽  
Traffic Violations ◽  
Traffic Violation

One of the major causes to increase traffic accidents is traffic violations from drivers that occur on road networks. The objective of this study was to evaluate the effects of traffic violation and demographic characteristics of the drivers on the traffic safety in Sulaymaniyah urban street networks. A questionnaire survey approach was used to collect data from 244 drivers; 143 male and 101 female drivers. The questionnaire form included ten questions; six of the questions were related to the traffic violations types and four of them were related to the demographic parameters of the drivers. Each of the drivers answer scored on a six-point Likert scale (1 = never, to 6 = almost always). Statistical Minitab 16 software was used to statistically evaluate the data and compare the scores using z-test, then obtain the descriptive statistics. There were significant differences between the violation scores from male and female drivers. It was realized that the male drivers drive their vehicles in more violative manner than female drivers because male drivers had higher scores in all types of the moving vehicle violations and overall violations compared to female drivers. The female drivers had a smaller number of accidents, age, and travelling distance than male drivers. The old age drivers do fewer violations than young drivers. Drivers having high travelling distance per week do more violations than drivers having less driving distance per week. The overall violation score correlates with the age of drivers (rs = 0.247), number of accidents (rs = 0.265). All types of the violation measurements are highly correlated with the overall average value of the violation. However, the overall value of the violation score for all of the drivers was 18.1 out of 100. Efforts should be spent by traffic police to reduce number of traffic accidents and improving efficiency of the traffic flows in Sulaymaniyah City for the street networks. Rather than stopping traffic police on intersections, it is preferred to traffic police observe the drivers’ violation on the streets during driving. Regarding to the driving license, traffic police can concentrate more to male and young drivers.

scholarly journals PREREQUISITE FOR ACCIDENT-FREE TRAFFIC AT SIGNAL-CONTROLLED INTERSECTIONS

2021 ◽  
Vol 6 (1) ◽  
pp. 73-80
Author(s):  
Andrey Gorev ◽  
◽  
Olga Gasilova ◽  
Boris Sidorov ◽  
◽  
...  
Keyword(s):  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Green Light ◽  
Traffic Intensity ◽  
Traffic Flows ◽  
Safe Distance ◽  
The City ◽  
Minimum Safe Distance ◽  
Maximum Intersection

Introduction: Improving intersection capacity will not be possible without accounting for traffic safety. Purpose of the study: We aim to determine the prerequisite for accident-free traffic at signal-controlled intersections with turning traffic flows. Methods: In our study, we used the methods of observation, comparison, and mathematical analysis. Results: We have carried out a field observation of traffic intensity at signal-controlled intersections in the city of Yekaterinburg, focusing on vehicles that moved when the green light was on. We have also analyzed traffic flow moving in three directions in the same lanes. We have discovered that traffic accident likelihood is the highest (54%) at four-way intersections. Three-way intersections account for 44% of traffic accidents, while the remaining 2% of accidents occur at multi-way intersections. Furthermore, we have determined the additional factors that impact safety in turning traffic flows at intersections. Our study demonstrates that in order to ensure maximum intersection capacity, the duration of the traffic signal cycle must be adjusted with the minimum safe distance between vehicles in mind.

EFFECTIVE APPROACH TO DETECTING ROADS FOR PRIORITY PLANNING FOR ROAD SAFETY MEASURES

2019 ◽  
pp. 52-57
Author(s):  
Liydmila Nagrebelna ◽  
Olga Belenchuk ◽  
Oleksii Petrashenko
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Traffic Accidents ◽  
Safety Management ◽  
Complex Problem ◽  
Road Accident ◽  
Road Accidents ◽  
Safety Measures ◽  
Limit Values ◽  
Black Spots

The basic approaches for identifying dangerous road sections for prioritizing road safety measures are outlined. The effectiveness of the result depends on how well the areas where the road safety measures need to be implemented are identified. Suggestions for identifying dangerous places on the roads according to the statistics of traffic accidents using the methods of probability theory are given. On the basis of the analysis of statistics on roads with different number of adventures, limit values of the admissible number of adventures on sections of roads of different length are established. It is proved that it is necessary to create a comprehensive approach to solving a complex problem – improving road safety. Оne of the important approaches for the definition of dangerous road sections according to the data of road accidents, which is proposed by the authors, is the method of detection of sections (places) of concentration of road accidents (black spots). The purpose of this article is to: introduce an approach in road safety management to reduce the number of road accidents and the severity of their consequences on Ukraine’s highways by first implementing measures to improve road conditions and improve road organization. The effectiveness of the result in reducing the number of traffic accidents depends on the areas so clearly identified that, in the first place, it is necessary to implement measures to improve road safety. That is why this approach was introduced in traffic safety management. The purposeful financing of measures, aimed primarily at eliminating such sites, will help to reduce the number of road accidents and the severity of their consequences. Keywords: road safety, methods of analysis, dangerous road sections, place of concentration of road accidents, black spots, road accident.

Road Macula Analysis and Evaluation

2011 ◽  
Vol 97-98 ◽  
pp. 360-366
Author(s):  
Jian Cheng Sun ◽  
Lin Song Wang
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Black Spot ◽  
Road Accident ◽  
The Road ◽  
Discriminant Model ◽  
Road Traffic Safety ◽  
Black Spots

The subject Introduced the analysis method of the black-spot, established the black-spot discriminant model, And gave its algorithm. According to the characteristics of China's traffic flow, we develope black-spot database, so that the work of the black-spot identification can be quickly carried out。The Road black-spot traffic accidents describes the road sections which have significantly higher accident rate than the average level . Road black-spots identification, analysis and processing are widely considered to be the most efficient way to prevent traffic accidents. The identification of Road accident black-spots is the concern of road design, road safety review, operation management, and security studies , The research studies of road black-spot identification,and determines risk road sections, so that countermeasures can be put forward, and we can achieve the goals of design improvement, strengthen management, improvement of road safety operation environment, decrease of the number of traffic accidents and improvement of the whole road traffic safety performance.

scholarly journals Unrecorded Accidents Detection on Highways Based on Temporal Data Mining

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Shi An ◽  
Tao Zhang ◽  
Xinming Zhang ◽  
Jian Wang
Keyword(s):  
Data Mining ◽  
Time Series ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Computational Cost ◽  
Transmission Model ◽  
Temporal Data Mining ◽  
Temporal Data ◽  
Cell Transmission Model ◽  
Traffic Police

Automatic traffic accident detection, especially not recorded by traffic police, is crucial to accident black spots identification and traffic safety. A new method of detecting traffic accidents is proposed based on temporal data mining, which can identify the unknown and unrecorded accidents by traffic police. Time series model was constructed using ternary numbers to reflect the state of traffic flow based on cell transmission model. In order to deal with the aftereffects of linear drift between time series and to reduce the computational cost, discrete Fourier transform was implemented to turn time series from time domain to frequency domain. The pattern of the time series when an accident happened could be recognized using the historical crash data. Then taking Euclidean distance as the similarity evaluation function, similarity data mining of the transformed time series was carried out. If the result was less than the given threshold, the two time series were similar and an accident happened probably. A numerical example was carried out and the results verified the effectiveness of the proposed method.

scholarly journals Analysis of Black Spot of Traffic Accident in Wuhan Port

2019 ◽  
Vol 296 ◽  
pp. 01001
Author(s):  
Feng Xia ◽  
Ya-dong Yang
Keyword(s):  
Traffic Safety ◽  
Yangtze River ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Weighted Average ◽  
Black Spot ◽  
The Yangtze River ◽  
Ship Traffic ◽  
Black Spots ◽  
On The Road

The proposal to build the “Yangtze River Golden Waterway” strategy has enabled the shipbuilding volume of the Yangtze River trunk to grow rapidly. With the increase of ship traffic flow, the Yangtze River water traffic safety is facing severe challenges. This paper draws on the road traffic black spots and existing research methods of water traffic accidents and the definition of water traffic black spots. The DBSCAN algorithm and the accident-level weighted average method are used to establish the blackpoint identification model for waterborne traffic. The model is applied to the Yangtze River mid-stream Wuhan Port 2013-2017 water traffic safety accident as an example. Ten black spots and corresponding boundaries are identified. The black point analysis method used in this paper can effectively quantitatively analyze the spatial distribution and characteristics of water traffic black spots, which can provide a new theoretical basis for ensuring the safety of water traffic.

scholarly journals Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lei Lin ◽  
Feng Shi ◽  
Weizi Li
Keyword(s):  
New York ◽  
Los Angeles ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Human Mobility ◽  
Critical Conditions ◽  
Road Traffic Safety ◽  
Accident Data ◽  
The Impact

AbstractCOVID-19 has affected every sector of our society, among which human mobility is taking a dramatic change due to quarantine and social distancing. We investigate the impact of the pandemic and subsequent mobility changes on road traffic safety. Using traffic accident data from the city of Los Angeles and New York City, we find that the impact is not merely a blunt reduction in traffic and accidents; rather, (1) the proportion of accidents unexpectedly increases for “Hispanic” and “Male” groups; (2) the “hot spots” of accidents have shifted in both time and space and are likely moved from higher-income areas (e.g., Hollywood and Lower Manhattan) to lower-income areas (e.g., southern LA and southern Brooklyn); (3) the severity level of accidents decreases with the number of accidents regardless of transportation modes. Understanding those variations of traffic accidents not only sheds a light on the heterogeneous impact of COVID-19 across demographic and geographic factors, but also helps policymakers and planners design more effective safety policies and interventions during critical conditions such as the pandemic.

Driving ability in bipolar patients receiving lithium or lamotrigine

2011 ◽  
Vol 26 (S2) ◽  
pp. 194-194
Author(s):  
A. Brunnauer ◽  
F. Segmiller ◽  
I. Hermisson ◽  
F. Seemüller ◽  
M. Riedel ◽  
...  
Keyword(s):  
Visual Perception ◽  
Stress Tolerance ◽  
Traffic Safety ◽  
Test Performance ◽  
Rating Scale ◽  
Safety Data ◽  
Developed Countries ◽  
Driving Ability ◽  
Young Mania ◽  
Bipolar Patients

ObjectivesDriving is a daily activity for most people in developed countries and is important in maintaining independence. Bipolar patients may have an impaired driving behavior because of the pathology itself, with psychomotor and cognitive disturbances. Additionally, adverse effects of pharmacologic treatment may be detrimental.Methods24 remitted bipolar outpatients diagnosed according to ICD-10 criteria were enrolled in the study, receiving either lithium (n = 12) or lamotrigine (n = 12). Participants were investigated under steady state plasma level conditions. According to the German Guidelines for road and traffic safety data were collected with the Wiener Testsystem (WTS) measuring visual perception, reactivity, stress tolerance, concentration and vigilance.Psychopathologic symptoms were rated with the Montgomery-Asberg Depression Rating Scale (MADRS) and the Young Mania Rating Scale - Clinician rated (YMRS-C).ResultsAbout 40% of patients were without clinically relevant psychomotor disturbances. In 40% of cases mild to moderate impairments could be seen, and 20% of the patients were considered as severely impaired. Data show that patients under lamotrigine had an altogether better test performance than patients treated with lithium. Especially in visual perception and stress tolerance differences were most pronounced.ConclusionsAbout 20% of remitted bipolar outpatients treated with lithium or lamotrigine must be considered unfit to drive. In 40% of the cases it seems justified to counsel patients individually, taking into account compensational factors. Analysis of our data point to an advantage for bipolar patients treated with lamotrigine when compared with lithium. However causal relationships can not be drawn from our data.

Traffic accident and emission reduction through intermittent release measures for heavy fog weather

2015 ◽  
Vol 29 (25) ◽  
pp. 1550148 ◽  
Author(s):  
Jing Shi ◽  
Jin-Hua Tan
Keyword(s):  
Traffic Safety ◽  
Emission Reduction ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Driving Simulator ◽  
Emission Characteristics ◽  
Driving Behaviors ◽  
Ca Model ◽  
Reduce Emissions

Heavy fog weather can increase traffic accidents and lead to freeway closures which result in delays. This paper aims at exploring traffic accident and emission characteristics in heavy fog, as well as freeway intermittent release measures for heavy fog weather. A driving simulator experiment is conducted for obtaining driving behaviors in heavy fog. By proposing a multi-cell cellular automaton (CA) model based on the experimental data, the role of intermittent release measures on the reduction of traffic accidents and CO emissions is studied. The results show that, affected by heavy fog, when cellular occupancy [Formula: see text], the probability of traffic accidents is much higher; and CO emissions increase significantly when [Formula: see text]. After an intermittent release measure is applied, the probability of traffic accidents and level of CO emissions become reasonable. Obviously, the measure can enhance traffic safety and reduce emissions.

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